Linear Kernels for $l$-Exact Component Order Connectivity
This work provides improved kernelization results for a family of graph modification problems, offering a linear kernel for previously open cases and improving existing bounds for others.
The paper presents the first linear kernel for the $l$-Exact Component Order Connectivity problem for each fixed $l\\geq 3$, achieving an $O(kl)$-vertex kernel. For $l=2$, it improves the kernel size from $6k$ to $(3k+1)$ vertices.
The \textsc{$l$-Exact Component Order Connectivity} problem asks whether, given an input graph $G$ and an integer $k$, there exists a vertex subset $S\subseteq V(G)$ of size at most $k$ such that every connected component in $G - S$ has exactly $l$ vertices. In this paper, we present an $O(kl)$-vertex kernel for this problem, computable in $|V(G)|^{O(l)}$ time. This is the first known linear kernel for each fixed $l\geq 3$. For $l=1$, this problem reduces to the classical \textsc{Vertex Cover}, and our result matches the best-known $2k$-vertex kernel. For $l=2$ (known as \textsc{Deletion to Induced Matching}), we can get a $(3k + 1)$-vertex kernel, improving the previously known result of $6k$ vertices. Our kernelization algorithm is built upon on an extended crown decomposition combined with linear programming and other techniques.